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dc.contributor.authorHadwiger, Markus
dc.contributor.authorBeyer, Johanna
dc.contributor.authorJeong, Wonki
dc.contributor.authorPfister, Hanspeter
dc.date.accessioned2015-08-03T10:38:13Z
dc.date.available2015-08-03T10:38:13Z
dc.date.issued2012-12
dc.identifier.issn10772626
dc.identifier.pmid26357136
dc.identifier.doi10.1109/TVCG.2012.240
dc.identifier.urihttp://hdl.handle.net/10754/562438
dc.description.abstractThis paper presents the first volume visualization system that scales to petascale volumes imaged as a continuous stream of high-resolution electron microscopy images. Our architecture scales to dense, anisotropic petascale volumes because it: (1) decouples construction of the 3D multi-resolution representation required for visualization from data acquisition, and (2) decouples sample access time during ray-casting from the size of the multi-resolution hierarchy. Our system is designed around a scalable multi-resolution virtual memory architecture that handles missing data naturally, does not pre-compute any 3D multi-resolution representation such as an octree, and can accept a constant stream of 2D image tiles from the microscopes. A novelty of our system design is that it is visualization-driven: we restrict most computations to the visible volume data. Leveraging the virtual memory architecture, missing data are detected during volume ray-casting as cache misses, which are propagated backwards for on-demand out-of-core processing. 3D blocks of volume data are only constructed from 2D microscope image tiles when they have actually been accessed during ray-casting. We extensively evaluate our system design choices with respect to scalability and performance, compare to previous best-of-breed systems, and illustrate the effectiveness of our system for real microscopy data from neuroscience. © 1995-2012 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjecthigh-resolution microscopy
dc.subjecthigh-throughput imaging
dc.subjectneuroscience
dc.subjectPetascale volume exploration
dc.titleInteractive volume exploration of petascale microscopy data streams using a visualization-driven virtual memory approach
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalIEEE Transactions on Visualization and Computer Graphics
dc.contributor.institutionUlsan National Institute of Science and Technology (UNIST), South Korea
dc.contributor.institutionSchool of Engineering and Applied Sciences at Harvard University, United States
kaust.personHadwiger, Markus
kaust.personBeyer, Johanna


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